Triple
T34878085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Fort Texas |
E1005933
|
entity |
| Predicate | commanderForMexico |
P63516
|
FINISHED |
| Object | General Mariano Arista |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: General Mariano Arista | Statement: [Siege of Fort Texas, commanderForMexico, General Mariano Arista]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commanderForMexico Context triple: [Siege of Fort Texas, commanderForMexico, General Mariano Arista]
-
A.
militaryCommanderMexican
Indicates that one entity serves as the military commander of the other entity, specifically within a Mexican military context.
-
B.
battleCommanderMexican
chosen
Indicates that one entity serves as the Mexican commander or leading military officer in a particular battle involving the other entity.
-
C.
commanderForPeru
Indicates that an entity serves or has served as a military commander on behalf of Peru.
-
D.
MexicanCommanderRank
Indicates that one entity holds a specific military commander rank within the Mexican armed forces in relation to another entity or context.
-
E.
commanderForChile
Indicates that an individual serves or has served as a military or organizational commander on behalf of Chile.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd553d7cb881908d243e7a9f30ac85 |
completed | May 8, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69fd514dcb1c81908333c70d7edd79c9 |
completed | May 8, 2026, 2:58 a.m. |
Created at: May 3, 2026, 4 p.m.